A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Computing on masked data: a high performance method for improving big data veracity
2014
2014 IEEE High Performance Extreme Computing Conference (HPEC)
Preserved Fulltext
Other Versions
This work introduces a new technique called Computing on Masked Data (CMD), which improves data veracity by allowing computations to be performed directly on masked data and ensuring that only authorized ...
The growing gap between data and users calls for innovative tools that address the challenges faced by big data volume, velocity and variety. ...
These approaches are all significant steps forward in improving the veracity of a big data system. ...
doi:10.1109/hpec.2014.7040946
dblp:conf/hpec/KepnerGMSVYC14
fatcat:6ih6eru33zh55awm24lfguekmy
Computing on Masked Data to improve the Security of Big Data
[article]
2015
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
2015
2015 IEEE International Symposium on Technologies for Homeland Security (HST)
unpublished
doi:10.1109/ths.2015.7225312 fatcat:ve3yhccvvjbnvp4t7pmw2rus2y
doi:10.1109/ths.2015.7225312 fatcat:ve3yhccvvjbnvp4t7pmw2rus2y
Much of big data computation and analytics make use of signal processing fundamentals for computation. ...
In this article, we propose a tool called Computing on Masked Data (CMD), which combines advances in database technologies and cryptographic tools to provide a low overhead mechanism to offload certain ...
ACKNOWLEDGEMENTS The authors would like to acknowledge the anonymous reviewers, Nabil Schear, Rob Cunningham, and the LLGrid operations team at MIT Lincoln Laboratory for their support in developing and ...
arXiv:1504.01287v1
fatcat:vl4o5rdioja37i6wtfzhkgmg5e
Methods for Assessing, Predicting, and Improving Data Veracity: A survey
2020
Advances in Distributed Computing and Artificial Intelligence Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The challenges or limitations and related gaps in existing work will bediscussed, and future research directions will be proposed to address the critical issuesof data veracity in the era of big data ...
However, recently, veracity has beenadded as the fourth dimension. Data veracity relates to the quality of the data. ...
proposed a technique, known as the computing on masked data (CMD) system, to improve the data veracity by performing computations on masked data in which only an authorized recipient can unmask the data ...
doi:10.14201/adcaij202094530
fatcat:5nuibi4ningdbp7ivrbgn6dk6i
Study on Big Data Frameworks
2021
International Journal of Scientific Research in Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Big data analytics is becoming more and more popular every day as a tool for evaluating large volumes of data on demand. ...
four big data architectures against these KPIs in a literature review. ...
Spark has the ability to store data in memory for future iterations, which improves performance. ...
doi:10.32628/ijsrst218475
fatcat:qnfdtgeqgzhalpsb6lzpp3v4gi
DTRM: A new reputation mechanism to enhance data trustworthiness for high-performance cloud computing
2018
Future generations computer systems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
To enhance data veracity and thus improve the performance of big data computing in MCC, this paper proposes a Data Trustworthiness enhanced Reputation Mechanism (DTRM) which can be used to defend against ...
Troublesome internal attacks launched by internal malicious users is one key problem that reduces data veracity and remains difficult to handle. ...
[8] introduced a technique called Computing on Masked Data (CMD) to improve data veracity while allowing a wide range of computations and queries to be performed with low overhead. ...
doi:10.1016/j.future.2018.01.026
fatcat:vockpqxcdzfoheaxq2gqsdbqmu
A Review of Data Science and Big Data Computing
2020
Asian Journal of Research in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we discussed the general concept of data science, Big data, and areas of Big data computing. ...
Data Science emerged as an important discipline and its education is essential for success in almost every aspect of life. Here comes the age of Big data. ...
Computing similarity is one of the data sciences principal methods. ...
doi:10.9734/ajrcos/2020/v6i330158
fatcat:4a2jbja4qnfntmwnad6nhyaruy
Privacy-Preserving Record Linkage for Big Data: Current Approaches and Research Challenges
[chapter]
2017
Handbook of Big Data Technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
2) achieving high quality results of the linkage in the presence of variety and veracity of Big Data, and (3) preserving privacy and confidentiality of the entities represented in Big Data collections. ...
PPRL for Big Data poses several challenges, with the three major ones being (1) scalability to multiple large databases, due to their massive volume and the flow of data within Big Data applications, ( ...
Scalable Data Services and Solutions (ScaDS) Dresden/Leipzig (BMBF 01IS14014B). ...
doi:10.1007/978-3-319-49340-4_25
fatcat:a6p7w4sannbmdkq4ceridmoan4
Quality assurance in big data analytics: An IoT perspective
2019
Telfor Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Emergence of IoT as one of the key data contributors in a big data application has presented new data quality challenges and has necessitated for an IoT inclusive data validation ecosystem. ...
Standardized data quality approaches and frameworks are available for data obtained for a variety of sources like data warehouses, webblogs, social media, etc. in a big data application. ...
Based on various processes and methods as mentioned transformations on raw IoT data are performed wherever necessary. ...
doi:10.5937/telfor1902114a
fatcat:y2tvstn4hbchjoblqdtobc4a64
MapReduce based Text Detection using MSER in Big Data Natural Scene Videos
2017
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Text is one of the most important features in images and videos. It can be used for various analysis purposes. ...
In this research work, a method is proposed to detect text in Natural scene videos using MapReduce and MSER (Maximally Stable Extremal Regions). ...
INTRODUCTION Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate .It can be defined as high volume, high velocity & high variety information ...
doi:10.5120/ijca2017915448
fatcat:4nbnvqk3q5d35dpwvb2kofdyaq
Toward better data veracity in mobile cloud computing: A context-aware and incentive-based reputation mechanism
2017
Information Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
As a promising next-generation computing paradigm, Mobile Cloud Computing (MCC) enables the large-scale collection and big data processing of personal private data. ...
An important but often overlooked V of big data is data veracity, which ensures that the data used are trusted, authentic, accurate and protected from unauthorized access and modification. ...
[10] introduced a new technique called Computing on Masked Data (CMD) to improve data veracity while allowing a wide range of computations and queries to be performed with low overhead by combining ...
doi:10.1016/j.ins.2016.12.031
fatcat:mk6p4d6yyrdsjclgmg3bcdmohi
Additive Manufacturing and Big Data
2016
International journal of mathematical, engineering and management sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Big data in AM and Big Data analytics for AM are also presented. ...
Big Data analytics helps analyze AM processes and facilitate AM in impacting supply chains. This paper introduces advantages, applications, and technology progress of AM. ...
In-situ monitoring and Big Data analytics for additive manufacturing are important research topics (Rapporteur, 2014; Dehoff et al., 2015) . High performance computation (HPC) can be used in AM. ...
doi:10.33889/ijmems.2016.1.3-012
fatcat:bdzjb5tm6jerve42uxynzjawru
Single-cell Transcriptome Study as Big Data
2016
Genomics, Proteomics & Bioinformatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
After extensively reviewing the available big-data applications of next-generation sequencing (NGS)-based studies, we propose a workflow that accounts for the unique characteristics of scRNA-seq data and ...
Big-data technology provides a framework that facilitates the comprehensive discovery of biological signals from inter-institutional scRNA-seq datasets. ...
Carson Harrod for editing the manuscript. ...
doi:10.1016/j.gpb.2016.01.005
pmid:26876720
pmcid:PMC4792842
fatcat:g6zc5bsl4vhynhimaxpoi3tatq
Big Data: Ideology vs. Enlightenment
2019
International Journal of Computer Auditing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
<p> “Big Data” is a technological term with a seemingly cognitive connotation that masks an ideological orientation of those attempting to be benevolently, criminally of even “innocently ...
An enlightened framework for data governance is overdue in the “digital big data age!”</p> ...
To hope for improved objectivity, transparency and trust with (ill-defined) big data is also an illusion . ...
doi:10.53106/256299802019120101002
fatcat:mencxp3xircfdfdl4g63jijlqy
DaLiF: a data lifecycle framework for data-driven governments
2021
Journal of Big Data
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
AbstractThe public sector, private firms, business community, and civil society are generating data that is high in volume, veracity, velocity and comes from a diversity of sources. ...
From the above, the Government Big Data Ecosystem (GBDE) emerges. Managing big data throughout its lifecycle becomes a challenging task for governmental organizations. ...
Acknowledgements The European Union-funded Project: Digital Europe for All (DE4A), Horizon 2020-the Framework Programme for Research and Innovation ...
doi:10.1186/s40537-021-00481-3
fatcat:c2c7kozsazf6jeptgcb43sctsi
Technical Research Priorities for Big Data
[chapter]
2021
The Elements of Big Data Value
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The process also highlighted the important role of data standardisation, data engineering and DevOps for Big Data. ...
This chapter details a community-driven initiative to identify and characterise the key technical research priorities for research and development in data technologies. ...
big data and high-performance computing architecture: Efficient hybrid architectures that optimise the mixture of big data (i.e. ...
doi:10.1007/978-3-030-68176-0_5
fatcat:c2ydwkla6ngrxfatohkuxqnfm4
« Previous
Showing results 1 — 15 out of 1,755 results